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09/07/2023
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
A 360-degree (omni-directional) image provides an all-encompassing spher...
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08/31/2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...
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08/21/2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Scale variation is a deep-rooted problem in object counting, which has n...
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08/01/2023
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Person clustering with multi-modal clues, including faces, bodies, and v...
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06/25/2023
Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Scene information plays a crucial role in trajectory forecasting systems...
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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/14/2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Traffic forecasting plays a critical role in smart city initiatives and ...
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06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
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06/12/2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Modeling complex spatiotemporal dependencies in correlated traffic serie...
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06/12/2023
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Correlated time series analysis plays an important role in many real-wor...
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06/11/2023
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Large language models have become a potential pathway toward achieving a...
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06/05/2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis
This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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04/25/2023
Seeing is not always believing: A Quantitative Study on Human Perception of AI-Generated Images
Photos serve as a way for humans to record what they experience in their...
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04/24/2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Diffusion models have attained impressive visual quality for image synth...
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04/06/2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
We present FengWu, an advanced data-driven global medium-range weather f...
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03/29/2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Predicting the future trajectories of the traffic agents is a gordian te...
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03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
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03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
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03/03/2023
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Synthesizing controllable motion for a character using deep learning has...
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02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
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01/27/2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Spatiotemporal learning, which aims at extracting spatiotemporal correla...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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10/26/2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Transportation is the backbone of the economy and urban development. Imp...
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09/23/2022
Towards Frame Rate Agnostic Multi-Object Tracking
Multi-Object Tracking (MOT) is one of the most fundamental computer visi...
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09/14/2022
Jointly Contrastive Representation Learning on Road Network and Trajectory
Road network and trajectory representation learning are essential for tr...
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08/15/2022
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
Image-based 3D detection is an indispensable component of the perception...
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07/17/2022
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
Contrastive-based self-supervised learning methods achieved great succes...
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06/08/2022
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
Considering the multimodal nature of transport systems and potential cro...
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05/10/2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Generalizing learned representations across significantly different visu...
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05/03/2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Federated learning (FL) has been widely employed for medical image analy...
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03/23/2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting
Pedestrian counting is a fundamental tool for understanding pedestrian p...
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03/10/2022
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking
Exploiting a general-purpose neural architecture to replace hand-wired d...
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02/03/2022
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
Trajectory forecasting is critical for autonomous platforms to make safe...
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12/01/2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
The pretrain-finetune paradigm is a classical pipeline in visual learnin...
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09/13/2021
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
This paper studies the task of estimating the 3D human poses of multiple...
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08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
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07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
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07/02/2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
Metro origin-destination prediction is a crucial yet challenging task fo...
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11/27/2020
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
The strong demand of autonomous driving in the industry has lead to stro...
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09/12/2020
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Accurate demand forecasting of different public transport modes(e.g., bu...
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07/14/2020
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding
Predicting consumers' purchasing behaviors is critical for targeted adve...
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07/14/2020
Spectrum-Guided Adversarial Disparity Learning
It has been a significant challenge to portray intraclass disparity prec...
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07/06/2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Modeling complex spatial and temporal correlations in the correlated tim...
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04/18/2020
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
Most current studies on survey analysis and risk tolerance modelling lac...
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05/24/2019
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Multi-step passenger demand forecasting is a crucial task in on-demand v...
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12/24/2018